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CodeBullShared AI runtime for software teams
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Shared AI runtime for software teams
Keep AI work in one team runtime.
CodeBull keeps the live thread, project state, and operating control in one workspace so teams can review, hand off, and resume without reset.
- One shared thread for the team and the model
- Project state, files, and preview stay attached
- Control stays visible while the work is live
Runtime snapshot
One surface keeps the current state intact.
The next teammate resumes the real session with the current thread, working memory, and control model already attached.
Approved plan, latest checkpoint, and preview state remain attached.
Owners, operators, and reviewers stay in one visible runtime model.
Session status
Preview live · ready for reviewWork continues from live state instead of a rewritten summary.
How it works
One runtime keeps the work intact.
Instead of splitting prompts, notes, and approvals across tools, the team works in one operating surface.
Shared thread
Everyone resumes the same live session instead of retelling the context from scratch.
Durable memory
Approved plans, checkpoints, and current decisions stay with the work when the session pauses.
Visible control
Review, handoff, preview, and role-aware access stay inside the runtime while the model works.
Operational proof
What stays attached when work moves.
The runtime carries forward the artifacts and current state the next person actually needs.
Attached to the session
Working state stays available.
The session keeps the pieces that matter when work pauses and resumes.
Plans and checkpoints remain available
Approved plans, checkpoints, and latest decisions are ready when the session resumes.
Outputs stay tied to the session
Reports, changed files, and preview context stay linked to the runtime that produced them.
Ready for handoff
The next teammate resumes live context.
A new controller or reviewer opens current state instead of rebuilding it from memory.
The model resumes with team context
A teammate can continue without rewriting the entire backstory for the model.
Review happens against visible state
People can inspect current state, preview, and prior decisions before approving the next move.
Who it fits
Built for collaborative, reviewed AI work.
CodeBull fits teams that need execution and oversight in the same surface.
Engineering teams shipping ongoing changes
When code, plans, and preview move together, a shared runtime is easier to operate than scattered private chats.
Product and engineering sharing one review surface
The same runtime can carry execution, status, and review context without forcing a new summary for each stakeholder.
Teams that need role-aware control
Owners, operators, reviewers, and platform actors stay in one runtime model with visible control boundaries.
See the runtime model
Start with the product flow, then map it to your team.
Review the shared thread, durable memory, and visible control model before you map it onto your workflow.